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Natural Language Processing Jobs in Austin, TX (NOW HIRING)

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant experience creating clean, insightful dashboards for executives and non-technical audiences ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Develop, validate, and deploy production-level machine learning models, including regression, classification, clustering, time-series forecasting, and Natural Language Processing (NLP), to identify ...

Strong expertise in both computer vision and natural language processing with hands-on model development experience * Proficiency in PyTorch and/or TensorFlow with experience training and deploying ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... Natural Language Processing like named entity recognition, information extraction, and sentiment analysis • Comfort working in a Unix environment Company : FreedomPay is a white label e-commerce ...

... natural language processing and text analytics for innovative AI applications - Building and maintaining data infrastructure to support AI-driven automation - Mentoring junior team members and ...

Background in conversational AI or natural language processing * Familiarity with prompt engineering and chaining tools (LangChain, Semantic Kernel, etc.) * Experience building in or for mobile ...

Demonstrated experience leveraging Natural Language Processing (NLP) techniques for text classification, tagging, or entity extraction * Proficiency in Python and key ML libraries: PyTorch ...

Required : • 7 years of software development experience • Experience with and/or knowledge of AI concepts including natural language processing, machine learning, and neural networks • Strong ...

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Natural Language Processing information

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How much do natural language processing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for natural language processing in Austin, TX is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
What are popular job titles related to Natural Language Processing jobs in Austin, TX? For Natural Language Processing jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Austin, TX look for? The top searched job categories for Natural Language Processing jobs in Austin, TX are:
Infographic showing various Natural Language Processing job openings in Austin, TX as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $52,521 per year, or $25.3 per hour.

Mainframe Programmer - Natural language

RedSalsa Technologies, Inc.

Austin, TX • On-site

Other

Re-posted 12 hours ago


Job description

Description :

Perform advanced automated systems development work as a member of the project team to implement the four standardized NASWA SIDES exchanges:

Additional Fact-Finding, Determinations, Monetary Charges, and Benefit Charges.

Responsible for activities during all phases of the system development life cycle including external customer service, analyzing and documenting requirements, coding, testing as well as resolving software, data, hardware and reporting problems and troubleshooting system issues for internal and external clients.

Develops and tests COBOL, Natural and JCL Applications to meet design specifications. Documents current processes, creates and reviews project specification modifications, and creates test cases for testing the new and modified programs. Analyze, document, design, and develop logical, structured programs and systems appropriate to customer needs that may be maintained by others. Test applications in accordance with agency standards. Ensure adherence to programming documentation and procedural standards, and management goals and objectives.

Perform other duties as assigned to support the NASWA SIDES initiatives. Integrate the incoming and outgoing NASWA SIDES exchange data streams into the existing core legacy processing architecture.

This initiative requires comprehensive systems analysis and modification of current runtime routines, user interface screens, database tables, and batch processing jobs.

Because data formats, triggers, and validation rules vary across functional areas, a separate, dedicated analysis phase must be executed independently for each of the four SIDES Exchanges(Additional Fact-Finding, Determinations, Monetary Charges, and Benefit Charges).

Perform other duties as assigned.

Skills :

Years Skills/Experience Vendor Comment (as applicable)

8 Advanced proficiency in writing, testing, and debugging COBOL, Natural, and JCL applications within a large-scale mainframe environment.

8 Hands-on experience analyzing, modifying, and optimizing DB2 tables, schemas, and relational databases to integrate new data structures into existing systems.

8 Knowledge of scripting and batch processing in legacy and current technology to modify online user screens (CICS/Map environments), runtime routines, and complex background batch processing jobs.

8 Knowledge of Web API Development, including SOAP, REST, XML, and JSON, REST, with specific experience mapping and parsing external web-service data streams into legacy mainframe backend processing.

8 Experience implementing secure user authentication and authorization protocols using enterprise frameworks such as LDAP, SAML, or OIDC.

8 Experienced in analyzing existing legacy routines and batch processing workflows to integrate new functional elements and modify underlying DB2 database tables.

8 Knowledge of the Software Development Life Cycle (SDLC) principles, practices and techniques of application programming and software design

8 Ability to accurately test software applications using a data driven development approach

8 Skill in solving problems; in scheduling, testing, installing, and implementing programs; and in troubleshooting computer software systems

8 Expertise in analyzing undocumented or highly customized legacy code routines to perform precise gap analysis and impact mapping.

Preferred Qualifications:

Years Skills/Experience Vendor Comment (as applicable)

2 Prior experience specifically implementing or maintaining NASWA SIDES (State Information Data Exchange System) exchanges and technical specifications.

3 Strong functional knowledge of UI program workflows, specifically involving Additional Fact-Finding (ADF), Determinations and Decisions (DD), Monetary/Potential Charges (MPC), and Benefit Charges (BC). 2 SDLC tools Visio, ALM Octane

3 Experience handling and securing sensitive Personally Identifiable Information (PII) within a state or federal agency framework.

3 Experience with automating identity management services to include user authentication and authorization using an authentication framework, using Azure, Okta, LDAP, Entra